Copertina

Two Variations on the XTrace Algorithm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Hallman, Eric
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Numerical Analysis 65C05, 65F30, 68W20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

XTrace: Making the most of every sample in stochastic trace estimation
di: Epperly, Ethan N., et al.
Pubblicazione: (2023)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
di: Matti, Fabio, et al.
Pubblicazione: (2025)

Detecting when one probe vector is enough for preconditioned log-determinant approximation
di: Cortinovis, Alice, et al.
Pubblicazione: (2026)

Randomized low-rank Runge-Kutta methods
di: Lam, Hei Yin, et al.
Pubblicazione: (2024)

Optimal Krylov On Average
di: Luo, Qi, et al.
Pubblicazione: (2025)

Randomized Nyström approximation of non-negative self-adjoint operators
di: Persson, David, et al.
Pubblicazione: (2024)

A general framework for Krylov ODE residuals with applications to randomized Krylov methods
di: Krieger, Emil, et al.
Pubblicazione: (2025)

Make the most of what you have: Resource-efficient randomized algorithms for matrix computations
di: Epperly, Ethan N.
Pubblicazione: (2025)

Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
di: Chen, Guan-Yu, et al.
Pubblicazione: (2025)

Matrix-Free Evaluation of High-Order Shifted Boundary Finite Element Operators
di: Wichrowski, Michał
Pubblicazione: (2025)

High-performance matrix-free unfitted finite element operator evaluation
di: Bergbauer, Maximilian, et al.
Pubblicazione: (2024)

Fast Maxwell Solvers Based on Exact Discrete Eigen-Decompositions I. Two-Dimensional Case
di: Wang, Lixiu, et al.
Pubblicazione: (2025)

Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
di: Zhang, Lu, et al.
Pubblicazione: (2026)

Beyond Low Rank: Fast Low-Rank + Diagonal Decomposition with a Spectral Approach
di: Yeon, Kingsley, et al.
Pubblicazione: (2025)

Sharp analysis of sketched least squares and randomized low-rank approximation
di: Epperly, Ethan N., et al.
Pubblicazione: (2026)

FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
di: Madhavan, Madhusudan, et al.
Pubblicazione: (2026)

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
di: Persson, David, et al.
Pubblicazione: (2025)

On a randomized small-block Lanczos method for large-scale null space computations
di: Kressner, Daniel, et al.
Pubblicazione: (2024)

Accelerating a restarted Krylov method for matrix functions with randomization
di: Guidotti, Nicolas L., et al.
Pubblicazione: (2025)

Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems
di: Ferreira, Inês, et al.
Pubblicazione: (2024)

Bayesian D-Optimal Experimental Designs via Column Subset Selection
di: Eswar, Srinivas, et al.
Pubblicazione: (2024)

GMRES with randomized sketching and deflated restarting
di: Burke, Liam, et al.
Pubblicazione: (2023)

Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions
di: Palitta, Davide, et al.
Pubblicazione: (2023)

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Sylvester Equations
di: Palitta, Davide, et al.
Pubblicazione: (2023)

Randomized coupled decompositions
di: Begovic, Erna, et al.
Pubblicazione: (2024)

Randomized sketched TT-GMRES for linear systems with tensor structure
di: Bucci, Alberto, et al.
Pubblicazione: (2024)

Row-aware Randomized SVD with applications
di: Palitta, Davide, et al.
Pubblicazione: (2024)

Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
di: Cortinovis, Alice, et al.
Pubblicazione: (2024)

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
di: Dereziński, Michał, et al.
Pubblicazione: (2026)

Error bounds for some approximate posterior measures in Bayesian inference
di: Lie, Han Cheng, et al.
Pubblicazione: (2019)

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
di: Cai, HanQin, et al.
Pubblicazione: (2023)

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
di: Matalon, Pierre, et al.
Pubblicazione: (2025)

Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels
di: Fairbanks, Hillary R., et al.
Pubblicazione: (2024)

Fast, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
di: Epperly, Ethan N., et al.
Pubblicazione: (2026)

Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
di: Saibaba, Arvind K., et al.
Pubblicazione: (2025)

A Generalized Weak Galerkin Method for Linear Elasticity with Nonpolynomial Approximations
di: Wang, Junping, et al.
Pubblicazione: (2026)

Randomized flexible Krylov methods for $\ell_p$ regularization
di: Landman, Malena Sabaté, et al.
Pubblicazione: (2025)

The Delaunay Density Diagnostic
di: Gillette, Andrew, et al.
Pubblicazione: (2022)

Fast and forward stable randomized algorithms for linear least-squares problems
di: Epperly, Ethan N.
Pubblicazione: (2023)

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
di: Epperly, Ethan N., et al.
Pubblicazione: (2024)